Impact of horizontal resolution on simulation of precipitation extremes in an aqua-planet version of Community Atmospheric Model (CAM3)
Journal Article
·
· Tellus. Series A, Dynamic Meteorology and Oceanography (Online)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- National Center for Atmospheric Research, Boulder, CO (United States)
One key question regarding current climate models is whether the projection of climate extremes converges to a realistic representation as the spatial and temporal resolutions of the model are increased. Ideally the model extreme statistics should approach a fixed distribution once the resolutions are commensurate with the characteristic length and time scales of the processes governing the formation of the extreme phenomena of interest. In this study, a series of AGCM runs with idealized 'aquaplanet-steady-state' boundary conditions have been performed with the Community Atmosphere Model CAM3 to investigate the effect of horizontal resolution on climate extreme simulations. The use of the aquaplanet framework highlights the roles of model physics and dynamics and removes any apparent convergence in extreme statistics due to better resolution of surface boundary conditions and other external inputs. Assessed at a same large spatial scale, the results show that the horizontal resolution and time step have strong effects on the simulations of precipitation extremes. The horizontal resolution has a much stronger impact on precipitation extremes than on mean precipitation. Updrafts are strongly correlated with extreme precipitation at tropics at all the resolutions, while positive low-tropospheric temperature anomalies are associated with extreme precipitation at mid-latitudes.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- National Science Foundation (NSF); USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Grant/Contract Number:
- AC02-05CH11231; FC02-97ER62402
- OSTI ID:
- 1671755
- Journal Information:
- Tellus. Series A, Dynamic Meteorology and Oceanography (Online), Journal Name: Tellus. Series A, Dynamic Meteorology and Oceanography (Online) Journal Issue: 5 Vol. 63; ISSN 1600-0870
- Publisher:
- International Meteorological Inst.Copyright Statement
- Country of Publication:
- United States
- Language:
- English
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